Grinding surface roughness real-time detection and intelligent control system

Abstract

The invention discloses a grinding surface roughness real-time detection and intelligent control system. According to the system, constant-pressure high-pressure air flow is provided by an external stable-pressure air source, and the high-pressure air flow sequentially passes through a pressure stabilizing chamber, a variable-pressure chamber and a nozzle of a jet device, then is sprayed on the surface of a workpiece from a nozzle outlet and is finally dispersed in the atmosphere. When the roughness of a grinded surface changes, the distance between the nozzle outlet of the nozzle and the grinded surface changes, then the air flow of the nozzle changes and the pressure in the variable-pressure chamber changes, so that a signal collected by a pressure sensor changes, a signal acquisition module transmits the collected signal to a computer for signal analysis and data display in the computer, and meanwhile feature data of the signal are extracted. When the signal change of the pressure sensor exceeds a set threshold, the computer transmits a feedback signal to a grinding machine numerical control platform, the rotation speed of a grinding wheel and the moving speed of a workbench areadjusted, and the surface roughness of the grinded workpiece is guaranteed.

Description

technical field [0001] The invention relates to a real-time detection and intelligent control system of roughness, in particular to a real-time detection and intelligent control system of grinding surface roughness. Background technique [0002] Grinding is an important part of machining and is widely used in high-precision machining. In precision grinding, the surface roughness of the workpiece is one of the important indicators for evaluating the quality of grinding. Methods of measuring roughness are usually divided into two categories: contact measurement (such as stylus measurement); non-contact measurement (such as optical measurement and acoustic emission measurement), but contact measurement is difficult to achieve online detection of roughness , so it is difficult to control the grinding quality in real time. However, the device structure and operation of optical measurement and acoustic emission measurement are more complicated, and the cost is higher, and the re...

AI Technical Summary

Problems solved by technology

Methods of measuring roughness are usually divided into two categories: contact measurement (such as stylus measurement); non-contact measurement (such as optical measurement and acoustic emission measurement), but contact measurement is difficult to achieve online detection of roughness , making it difficult to control the grinding quality in real time

However, the device structure and operation of optical measurement and acoustic emission measurement are more complicated, and the cost is higher, and the requirements for grinding conditions are also higher.

[0003] Patent No. CN201010168306.X proposed the use of acoustic emission technology to detect the surface quality of cylindrical grinding workpieces in real time, established a relationship model between acoustic emission signals and workpiece surface roughness, and then realized the visualization of workpiece surface quality during the grinding process, but acoustic emission The detection device uses the acoustic signal as the signal source, and the acoustic signal receiver should be as close as possible to the contact position between the grinding wheel and the workpiece. At this time, the mechanical operation noise of the grinding machine itself and the external noise will interfere with the acoustic measurement sensor, so it will affect the performance of the grinding machine itself. and the external environment have higher requirements

Patent No. CN20171061913.7 proposes a method of using two-dimensional laser scanners to detect processing quality, using two laser scanners to scan the upper and lower surfaces of the workpiece to obtain corresponding image information, and using various sensors to monitor and control the system. But this method requires the object to be detected to have good reflective performance

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